Objective To update previous systematic review of predictive models for 28-day or 30-day
unplanned hospital readmissions. Design Systematic review. Setting/data source CINAHL …

Background The readmission rate following hospitalization for chronic obstructive
pulmonary disease (COPD) exacerbations is extremely high and has become a common …

Predictive modeling with electronic health record (EHR) data is anticipated to drive
personalized medicine and improve healthcare quality. Constructing predictive statistical …

Chronic diseases (such as diabetes, asthma, heart disease, lung disease, cancer,
depression, stroke, hypertension, and Alzheimer's) are responsible for seven out of ten …

Electronic health records (EHR) facilitate integration of patient health history for planning
safe and proper treatment. Combined with data analytics, aggregate-level EHR enable …

Background Unplanned readmission of a hospitalized patient is an indicator of patients'
exposure to risk and an avoidable waste of medical resources. In addition to hospital …

Of those patients hospitalized for an exacerbation of COPD, one in five will require
rehospitalization within 30 days. Many developed countries are now implementing policies …

Heart Failure (HF) is a prevalent ailment worldwide, and despite significant medical
advancements in the past few decades, cardiovascular disease is still the leading cause of …

Avoidable hospital readmissions not only contribute to the high costs of healthcare in the
US, but also have an impact on the quality of care for patients. Large scale adoption of …

Background Chronic diseases are increasingly prevalent in Western countries. Once
hospitalised, the chance for another hospitalisation increases sharply with large impact on …